Detecting Outliers in Network Meta-Analysis R package NMAoutlier version 0.2.1 CRAN Task View: AnomalyDetection (https://CRAN.R-project.org/view=AnomalyDetection) CRAN Task View: MetaAnalysis (https://CRAN.R-project.org/view=MetaAnalysis) A set of functions providing several outlier (i.e., studies with extreme findings) and influential detection measures and methodologies in network meta-analysis : - simple outlier and influential detection measures - outlier and influential detection measures by considering study deletion (shift the mean) - plots for outlier and influential detection measures - Q-Q plot for network meta-analysis - Forward Search algorithm in network meta-analysis. - forward plots to monitor statistics in each step of the forward search algorithm - forward plots for summary estimates and their confidence intervals in each step of forward search algorithm. Software Depends: R (>= 3.0.0) Imports: netmeta (>= 0.9-7), meta (>= 8.0-1), stats (>= 3.4.3), parallel (>= 3.4.1), MASS (>= 7.3-47), reshape2 (>= 1.4.3), ggplot2 (>= 3.0.0), gridExtra (>= 2.3) Maria Petropoulou <m.petropoulou.a@gmail.com> Comprehensive R Archive Network (CRAN) Maria Petropoulou [aut, cre] (ORCID: <https://orcid.org/0000-0002-7147-3644>), Guido Schwarzer [aut] (ORCID: <https://orcid.org/0000-0001-6214-9087>), Agapios Panos [aut], Dimitris Mavridis [aut] (ORCID: <https://orcid.org/0000-0003-1041-4592>) GPL (>= 2) 2025-10-02 application/tgz https://CRAN.R-project.org/package=NMAoutlier doi:10.32614/CRAN.package.NMAoutlier